Data Science Write for Us
Data science is an essential part of many industries today, given the massive amounts of data produced, and is one of the most debated topics in IT circles. Its popularity has grown over the years, and companies have started implementing data science techniques to grow their business and increase customer satisfaction. In this article, we’ll learn what data discipline is and how you can become a data scientist and want to write exciting articles; we are here to publish your thoughts at contact@themarketingpilot.com.
What Is Data Science?
Data science is the domain of study that contracts with vast volumes of data using modern tools and techniques to find unseen designs, derive meaningful info, and make business choices. Data science uses complex machine learning procedures to build predictive models. The data used for analysis can come from many different sources and be presented in various formats. Now that you know what data science is, let’s see the data science lifestyle.
The Data Science Lifecycle
Now that you know what data science is, let us focus on the data science lifespan. Data science’s lifecycle consists of five separate stages, each with its tasks:
Capture Data Acquisition, Data Entry, Signal Reception, and Data Extraction. This phase involves gathering raw structured and unstructured data.
Maintain Data Warehousing, Cleansing, Data Staging, Data Processing, and Data Architecture. This stage covers captivating the raw data and putting it into a procedure that can be used.
Process Data Mining, Clustering/Classification, Data Modelling, and Data Summarization. Data scientists take the ready data and examine its designs, ranges, and biases to determine its usefulness in predictive analysis.
Communicate Data Reporting, Data Visualization, Commercial Intelligence, Choice Making. In this final step, analysts prepare the examinations in easily readable forms, such as diagrams, graphs, and reports.
Data Science Prerequisites
Here are some of the technical concepts you should know before learning data science.
- Machine Learning: Machine learning is the backbone of data science. Data Experts need to have a solid grasp of ML and the basic information of statistics.
- Modeling: Mathematical models allow you to make quick controls and predictions based on what you already know about the data.
Why become a Data Scientist?
Read the points given below to know why to become a Data Scientist:
- Data scientists in India can earn INR 19-23 lakhs per annum, much higher than any other profession like engineering.
- Students from computer science, engineering, statistics, or mathematics backgrounds can pursue data science courses as it is a better-paying alternative to B Tech or mainstream engineering courses.
- Even students from management backgrounds can choose Data Science instead of an MBA.
- Indeed, a popular job listing website reports a 29% increase in data scientist job postings yearly, meaning data science is one of the most in-demand occupations.
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